Ergonomics for enhancing detection of machine abnormalities

• BACKGROUND:Detecting abnormal machine conditions is of great importance in an autonomous maintenance environment. Ergonomic aspects can be invaluable when detection of machine abnormalities using human senses is examined.OBJECTIVES:This research outlines the ergonomic issues involved in detecting machine abnormalities and suggests how ergonomics would improve such detections.METHODS:Cognitive Task Analysis was performed in a plant in Sri Lanka where Total Productive Maintenance is being implemented to identify sensory types that would be used to detect machine abnormalities and relevant Ergonomic characteristics.RESULTS AND CONCLUSIONS:As the outcome of this research, a methodology comprising of an Ergonomic Gap Analysis Matrix for machine abnormality detection is presented.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Annan samhällsbyggnadsteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Other Civil Engineering (hsv//eng)

Nyckelord

Drift och underhållsteknik

Operation and Maintenance

Publikations- och innehållstyp

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